Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
University of Bristol
2
0
6
Combining imperfect metrics and learning from subtle lexical variations lets smaller summarization models punch above their weight class in factual consistency.
VLMs are surprisingly conservative when inferring affordances for non-humanoid robots, exhibiting a high rate of missed opportunities for interaction, particularly with novel tools.